Access to care

-- Attaching packages --------------------------------------- tidyverse 1.2.1 --
v ggplot2 3.1.0       v purrr   0.3.1  
v tibble  2.0.1       v dplyr   0.8.0.1
v tidyr   0.8.3       v stringr 1.4.0  
v readr   1.3.1       v forcats 0.4.0  
package 㤼㸱purrr㤼㸲 was built under R version 3.5.3-- Conflicts ------------------------------------------ tidyverse_conflicts() --
x dplyr::filter() masks stats::filter()
x dplyr::lag()    masks stats::lag()

Attaching package: 㤼㸱rlang㤼㸲

The following objects are masked from 㤼㸱package:purrr㤼㸲:

    %@%, as_function, flatten, flatten_chr, flatten_dbl, flatten_int,
    flatten_lgl, flatten_raw, invoke, list_along, modify, prepend, splice

package 㤼㸱leaflet㤼㸲 was built under R version 3.5.3

Parsed with column specification:
cols(
  .default = col_character(),
  zip = col_double(),
  `Phone Number` = col_double(),
  score = col_double(),
  longitude = col_double(),
  latitude = col_double(),
  population = col_double(),
  poverty = col_double(),
  percent = col_double(),
  poverty_percent = col_double()
)
See spec(...) for full column specifications.

Call:
lm(formula = hospitals ~ population, data = hospital_sample)

Residuals:
     Min       1Q   Median       3Q      Max 
-10.7909  -0.7106   0.0908   0.2498   8.3805 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)    
(Intercept) 7.027e-01  3.942e-02   17.83   <2e-16 ***
population  7.907e-06  1.182e-07   66.90   <2e-16 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 1.149 on 941 degrees of freedom
Multiple R-squared:  0.8263,    Adjusted R-squared:  0.8261 
F-statistic:  4475 on 1 and 941 DF,  p-value: < 2.2e-16

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